Multi-objective Optimization For Distribution Network Of Distributed Power Supply

With the development of electrical technology and the public's emphasis on the sustainable development of ecological economy,and the distributed power generation technology has attracted more and more attention from society.Distributed energy power generation with economic and environmental protection,capital equipment,less investment,more diversified power generation advantages,and can improve the safety and reliability of the power supply system to a certain extent and maintain important importance in the event of major failure or accidental collapse Load is of great significance.The application and popularization of distributed power generation technology have a great impact on the distribution network,such as the power flow of the power system lines,the influence of the voltage value of each node,the influence of the system short circuit current,and the interference to reliability and stability of system and so on.And its degree of influence is related to the size of the distributed power generation site capacity.This will certainly bring about substantial changes in the optimization of the general distribution network,so the electricians must consider the impact of distributed power generation in the planning and design.Using the total power of the distribution network and the new planned load determine the power of the new distributed grid.And using the distributed power supply category,quantity,location,and the single power supply as the reference decision variable establish a multi-objective model of the distribution of the distribution network system.According to the actual situation and considering the influence of the distributed power supply on the stability of the distribution network and the rationality of the economy,the optimal multi-objective genetic algorithm is used to make the optimal distribution network design scheme.In order to obtain a more reasonable distributed power supply location solution program,the full use of multi-objective genetic algorithm operation,and contrast without and with distributed power grid upgrading program costs,and which determine the rational choice of distributed power site capacity can significantly reduce the operating costs of power grids,saving social resources.